A deep survey on supervised learning based human detection and activity classification methods

MA Khan, M Mittal, LM Goyal, S Roy - Multimedia Tools and Applications, 2021 - Springer
Human detection and activity recognition is very important research area in the healthcare,
video surveillance, pedestrian detection, intelligent vehicle system and home care center …

[PDF][PDF] Intelligent video surveillance systems for public spaces–a survey

M Zabłocki, K Gościewska, D Frejlichowski… - Journal of Theoretical …, 2014 - Citeseer
In recent years, a large number of cameras have been installed in public spaces as a part of
intelligent video surveillance systems. Such systems are being continuously developed due …

Suspicious activity detection from videos using yolov3

N Bordoloi, AK Talukdar… - 2020 IEEE 17th India …, 2020 - ieeexplore.ieee.org
Human activity detection for video system is an automated way of processing video
sequences and making an intelligent decision about the actions in the video. It is one of the …

Automatic multiple moving humans detection and tracking in image sequences taken from a stationary thermal infrared camera

M Younsi, M Diaf, P Siarry - Expert Systems with Applications, 2020 - Elsevier
Abstract Several Particle Filter (PF)-based methods for human tracking in thermal IR image
sequences have been proposed in the literature. Unfortunately, the majority of these …

Human identification using histogram of oriented gradients (HOG) and non-maximum suppression (NMS) for atm video surveillance

S Angadi, S Nandyal - … Journal of Innovative Research in Computer …, 2021 - papers.ssrn.com
Today video surveillance is the scorching topic in the research field of Computer Vision.
Around 400 million surveillance cameras are used in various sectors which merely act as …

Automatic moving object segmentation methods under varying illumination conditions for video data: comparative study, and an improved method

AKS Kushwaha, R Srivastava - Multimedia Tools and Applications, 2016 - Springer
In recent past, many moving object segmentation methods under varying lighting changes
have been proposed in literature and each of them has their own benefits and limitations …

Gaussian mixture model for background based automatic fall detection

H Xiao, X Wang, Q Li, Z Wang - International Conference on …, 2013 - ieeexplore.ieee.org
It's very dangerous for the elderly to fall, so fall detection is very important in nowadays
society. This paper addresses to detect fall activities by combing Gaussian mixture model …

VLSI Architecture for Fine Grained Pipelined Feature Extraction using Histogram of Oriented Gradient

A Sasongko, B Sahbani - 2019 IEEE 7th Conference on …, 2019 - ieeexplore.ieee.org
The most popular field to support the massive growth of the intelligent based system in the
recent year is object detection. The fundamental of the object detection technology is feature …

A Pervasive Framework for Human Detection and Tracking

F Georgios, B Dimitrios, K Kolomvatsos - arXiv preprint arXiv:2303.11170, 2023 - arxiv.org
The advent of the Edge Computing (EC) leads to a huge ecosystem where numerous nodes
can interact with data collection devices located close to end users. Human detection and …

Framework for dynamic background modeling and shadow suppression for moving object segmentation in complex wavelet domain

AKS Kushwaha, R Srivastava - Journal of Electronic Imaging, 2015 - spiedigitallibrary.org
Moving object segmentation using change detection in wavelet domain under continuous
variations of lighting condition is a challenging problem in video surveillance systems. There …